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Phenotypic Diversity of Ethiopian Coffee (Coffea arabica L.) Accessions Collected from Limmu Coffee Growing Areas Using Multivariate Analysis

Received: 17 April 2021    Accepted: 11 May 2021    Published: 20 May 2021
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Abstract

Forty seven Coffea arabica L. germplasm accessions collected from Limmu district were field evaluated from 2004/5 to 2013/14 with two commercial check varieties at Agaro Agricultural Research sub center in single plot. The objective of the experiment was to assess the variability among the accessions using quantitative traits. Data for about eight quantitative traits were recorded only once in experimental period, while the yield data were recorded for six consecutive cropping seasons. Cluster, genetic divergence, and principal component analysis were used to assess the variability among the genotypes. The results revealed that average linkage cluster analysis for nine traits grouped the germplasm accessions in to three clusters. The number of accessions per cluster ranged from three in cluster III to 25 in cluster II. The clustering pattern of the coffee accessions revealed that the prevalence of moderate genetic diversity in Limmu coffee for the characters studied. The maximum inter-cluster distance was observed between clusters II and III; whereas the minimum inter-cluster distance was observed between clusters I and II. The study highlighted the possibility of using accessions of the distant clusters as potential candidates for the genetic improvement of Limmu coffee through hybridization. Moreover, the principal component analysis showed that the first four PCs extracted about 82% of the total variance of the 49 coffee germplasm accessions and also confirmed moderate diversity among the germplasm accessions since the entire variation cannot be explained in terms of few PCs. This, in turn, indicates that the involvement of a number of traits in contributing towards the overall diversity.

Published in American Journal of BioScience (Volume 9, Issue 3)
DOI 10.11648/j.ajbio.20210903.12
Page(s) 79-85
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Coffea Arabica, Clustering and Principal Component, Gomma Woreda, Quantitative Traits

References
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[3] Bayetta, B., 2001. Arabica coffee breeding for yield and resistance to Coffee Berry Disease (Colletotichum Kahawae) sp. nor). APhD dissertation submitted to the Imperial College of Wye University of London. 272p.
[4] Chauhan, M. P., Mishra, A. C. and Singh, A. K., 2008. Genetic divergence studies in murd bean (Vigna mungo L.). Legume Research-An International Journal, 31 (1): 63-67.
[5] Davis, A. P., Govaerts, R., Bridson, D. M. and Stoffelen, P. (2006). An annotated taxonomic conspectus of the genus Coffea (Rubiaceae). Botanical Journal of the Linnean Society. 465-512.
[6] Desalegn Aemayehu. 2018. Genetic variability and character association of Amaro Kello coffee (Coffea arabica L.) Accessions at Awada, southern Ethiopia., MSc thesis, Jimma university, pp. 88.
[7] EBI (Ethiopian Biodiversity Institute). 2014. Ethiopia’s Fifth National Report to the Convention on Biological Diversity. Addis Ababa, Ethiopia. 86p.
[8] Elias, A. 2005. Economics of coffee bean marketing. A case study of Gomma district in Jimma zone of Ethiopia.
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[16] Mesfin Kebede and Bayetta Bellachew., 2008. Phenotypic Diversity in the Hararge Coffee (Coffea arabica L) Germplasm for Quantitative Traits. East African Journal of Sciences, 2 (1): 13-18.
[17] Mesfin Kebede, Bayetta Bellachew and Musa Jarso. 2015. Multivariate analysis of phenotypic diversity in the South Ethiopian coffee (Coffea arabica L.) for quantitative traits. Advances in Crop Science and Technology, pp. 1-4.
[18] Olika, Kitila., Sentayehu, Alamerew., Taye, Kufa. and Weyessa, Garedew., 2011. Variability of quantitative traits in Limmu coffee (Coffea arabica L.) in Ethiopia. International journal of agricultural research, 6 (6): 482-493.
[19] SAS (Statistical Analysis System) software. 2011. SAS Institute, Cary, NC, USA.
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    Lemi Beksisa, Tadesse Benti, Getachew Weldemichael. (2021). Phenotypic Diversity of Ethiopian Coffee (Coffea arabica L.) Accessions Collected from Limmu Coffee Growing Areas Using Multivariate Analysis. American Journal of BioScience, 9(3), 79-85. https://doi.org/10.11648/j.ajbio.20210903.12

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    ACS Style

    Lemi Beksisa; Tadesse Benti; Getachew Weldemichael. Phenotypic Diversity of Ethiopian Coffee (Coffea arabica L.) Accessions Collected from Limmu Coffee Growing Areas Using Multivariate Analysis. Am. J. BioScience 2021, 9(3), 79-85. doi: 10.11648/j.ajbio.20210903.12

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    AMA Style

    Lemi Beksisa, Tadesse Benti, Getachew Weldemichael. Phenotypic Diversity of Ethiopian Coffee (Coffea arabica L.) Accessions Collected from Limmu Coffee Growing Areas Using Multivariate Analysis. Am J BioScience. 2021;9(3):79-85. doi: 10.11648/j.ajbio.20210903.12

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  • @article{10.11648/j.ajbio.20210903.12,
      author = {Lemi Beksisa and Tadesse Benti and Getachew Weldemichael},
      title = {Phenotypic Diversity of Ethiopian Coffee (Coffea arabica L.) Accessions Collected from Limmu Coffee Growing Areas Using Multivariate Analysis},
      journal = {American Journal of BioScience},
      volume = {9},
      number = {3},
      pages = {79-85},
      doi = {10.11648/j.ajbio.20210903.12},
      url = {https://doi.org/10.11648/j.ajbio.20210903.12},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajbio.20210903.12},
      abstract = {Forty seven Coffea arabica L. germplasm accessions collected from Limmu district were field evaluated from 2004/5 to 2013/14 with two commercial check varieties at Agaro Agricultural Research sub center in single plot. The objective of the experiment was to assess the variability among the accessions using quantitative traits. Data for about eight quantitative traits were recorded only once in experimental period, while the yield data were recorded for six consecutive cropping seasons. Cluster, genetic divergence, and principal component analysis were used to assess the variability among the genotypes. The results revealed that average linkage cluster analysis for nine traits grouped the germplasm accessions in to three clusters. The number of accessions per cluster ranged from three in cluster III to 25 in cluster II. The clustering pattern of the coffee accessions revealed that the prevalence of moderate genetic diversity in Limmu coffee for the characters studied. The maximum inter-cluster distance was observed between clusters II and III; whereas the minimum inter-cluster distance was observed between clusters I and II. The study highlighted the possibility of using accessions of the distant clusters as potential candidates for the genetic improvement of Limmu coffee through hybridization. Moreover, the principal component analysis showed that the first four PCs extracted about 82% of the total variance of the 49 coffee germplasm accessions and also confirmed moderate diversity among the germplasm accessions since the entire variation cannot be explained in terms of few PCs. This, in turn, indicates that the involvement of a number of traits in contributing towards the overall diversity.},
     year = {2021}
    }
    

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  • TY  - JOUR
    T1  - Phenotypic Diversity of Ethiopian Coffee (Coffea arabica L.) Accessions Collected from Limmu Coffee Growing Areas Using Multivariate Analysis
    AU  - Lemi Beksisa
    AU  - Tadesse Benti
    AU  - Getachew Weldemichael
    Y1  - 2021/05/20
    PY  - 2021
    N1  - https://doi.org/10.11648/j.ajbio.20210903.12
    DO  - 10.11648/j.ajbio.20210903.12
    T2  - American Journal of BioScience
    JF  - American Journal of BioScience
    JO  - American Journal of BioScience
    SP  - 79
    EP  - 85
    PB  - Science Publishing Group
    SN  - 2330-0167
    UR  - https://doi.org/10.11648/j.ajbio.20210903.12
    AB  - Forty seven Coffea arabica L. germplasm accessions collected from Limmu district were field evaluated from 2004/5 to 2013/14 with two commercial check varieties at Agaro Agricultural Research sub center in single plot. The objective of the experiment was to assess the variability among the accessions using quantitative traits. Data for about eight quantitative traits were recorded only once in experimental period, while the yield data were recorded for six consecutive cropping seasons. Cluster, genetic divergence, and principal component analysis were used to assess the variability among the genotypes. The results revealed that average linkage cluster analysis for nine traits grouped the germplasm accessions in to three clusters. The number of accessions per cluster ranged from three in cluster III to 25 in cluster II. The clustering pattern of the coffee accessions revealed that the prevalence of moderate genetic diversity in Limmu coffee for the characters studied. The maximum inter-cluster distance was observed between clusters II and III; whereas the minimum inter-cluster distance was observed between clusters I and II. The study highlighted the possibility of using accessions of the distant clusters as potential candidates for the genetic improvement of Limmu coffee through hybridization. Moreover, the principal component analysis showed that the first four PCs extracted about 82% of the total variance of the 49 coffee germplasm accessions and also confirmed moderate diversity among the germplasm accessions since the entire variation cannot be explained in terms of few PCs. This, in turn, indicates that the involvement of a number of traits in contributing towards the overall diversity.
    VL  - 9
    IS  - 3
    ER  - 

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Author Information
  • Ethiopian Institute of Agricultural Research, Jimma Agricultural Research Center, Jimma, Ethiopia

  • Ethiopian Institute of Agricultural Research, Jimma Agricultural Research Center, Jimma, Ethiopia

  • Ethiopian Institute of Agricultural Research, Jimma Agricultural Research Center, Jimma, Ethiopia

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